1%-3.7%. The comprehensive evaluation index obtained with PCA showed that D. huoshanense was significantly higher than others regarding amino acids and D. officinale has higher nucleosides than other species. The biggest C_i difference of TOPSIS was 68.7%, and comprehensive evaluation showed that D. huoshanense produced the highest comprehensive quality. The method is precise, fast and efficient and can provide reliable basis for further researches and intrinsic quality control of Dendrobium.Shotgun based proteomics and peptidomics analysis were used to investigate the proteins and peptides in marine traditional Chinese medicine(TCM) Sepiae Endoconcha(cuttlebone). Peptides were extracted from cuttlebone by acidified methanol, and then strong cation exchange(SCX) resin was used to enrich those peptides. Also, proteins from cuttlebone were extracted and digested by trypsin. nano-LC Q Exactive Orbitrap mass spectrometry was used to analyze proteins and peptides from cuttlebone. https://www.selleckchem.com/products/nvp-cgm097.html As a result, a total of 16 proteins and 168 peptides were identified by protein database search, and 328 peptides were identified by De novo sequencing. The identified proteins were hemocyanin, enolase, myosin, actin, calmodulin, etc., and the identified peptides were derived from actin, histone, and tubulin. All these proteins and peptides were important components in cuttlebone, which would provide important theoretical and research basis for marine TCM cuttlebone investigations.To establish the HPLC-ELSD specific chromatogram analysis method of Rehmanniae Radix and Rehmanniae Radix Prae-parata, and analyze and compare their chemical compositions, so as to reveal the change regularity of compositions during the proces-sing. By HPLC-ELSD method, the chromatographic column for Prevail Carbohydrate ES(4.6 mm ×250 mm, 5 μm) was adopted, with acetonitrile(A)-water(B) as mobile phase for gradient elution, and the evaporative light-scattering detector was used. A total of 23 batches of Rehmannia Radix samples, and 25 batches of Rehmanniae Radix Praeparata samples and processing dynamic samples were compared. The established method had a great repeatability, precision and stability. Eight common chromatographic peaks were extracted from 23 batches of Rehmanniae Radix samples, 8 common peaks were extracted from 25 Rehmanniae Radix Praeparata, and 7 chromatographic peaks were identified. The composition ratio of Rehmannia Radix was changed greatly during the processing. When the simila-rity?0.95 and the fructose peak area was more than 2 times of stachyose tetrahydrate or more than 20 times of raffinose, the processing degree conformed to the requirements of empirical identification. The three main oligosaccharides of Rehmanniae Radix were sucrose that was heated to generate fructose and glucose, stachyose tetrahydrate that was heated to generate melibiose, sucrose and fructose, and stachyose tetrahydrate that was heated to generate manninotriose. The change in the index of proportion between monosaccharides and oligosaccharides can be used as the quantitative criterion for the processing quality of Rehmanniae Radix Praeparata.To establish high performance liquid chromatography(HPLC) fingerprints for crude and processed Ligustri Lucidi Fructus,and to evaluate their quality through the similarity calculation and chemical pattern recognition. The separation was performed with Syncronis C_(18) column(4.6 mm × 250 mm, 5 μm), with acetonitrile(A) and 0.1% phosphoric acid solution(B) as the mobile phase for gradient elution, and a detection wavelength of 280 nm. HPLC was used to detect 22 batches of crude and processed Ligustri Lucidi Fructus,and the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012 Edition) was used to evaluate the similarity among 22 batches. The research on pattern recognition was conducted with cluster analysis(CA), principal component analysis(PCA), and partial least squares discriminate analysis(PLS-DA). HPLC fingerprints of crude and processed Ligustri Lucidi Fructus were established, with similarity ranging from 0.9 to 1.0. The crude and processed Ligustri Lucidi Fructus can be obviously distinguished by using CA, PCA and PLS-DA. According to the results of PLS-DA,11 constituents including hydroxytyrosol, tyrosol, specnuezhenide and oleuropein were the main marker components leading to the difference. The established fingerprint method is stable and reliable, and can provide method basis for quality control of crude and processed Ligustri Lucidi Fructus. Chemical pattern recognition is proved to be helpful in comprehensive quality control and evaluation of Ligustri Lucidi Fructus before and after the process.This study aimed to establish a rapid and accurate method for identification of raw and vinegar-processed rhizomes of Curcuma kwangsiensis, in order to predict the content of curcumin compounds for scientific evaluation. A complete set of bionics recognition mode was adopted. The digital odor signal of raw and vinegar-processed rhizomes of Curcuma kwangsiensis were obtained by e-nose, and analyzed by back propagation(BP) neural network algorithm, with the accuracy, the sensitivity and specificity in discriminant model, correlation coefficient as well as the mean square error in regression model as the evaluation indexes. The experimental results showed that the three indexes of the e-nose signal discrimination model established by the neural network algorithm were 100% in training set, correction set and prediction set, which were obviously better than the traditional decision tree, naive bayes, support vector machine, K nearest neighbor and boost classification, and could accurately differentiate the raw and vinegar products. Correlation coefficient and mean square error of the regression model in prediction set were 0.974 8 and 0.117 5 respectively, and could well predict curcumin compounds content in Curcuma kwangsiensis, and demonstrate the superiority of the simulation biometrics model in the analysis of traditional Chinese medicine. By BP neural network algorithm, e-nose odor fingerprint could quickly, conveniently and accurately realize the discrimination and regression, which suggested that more bionics information acquisition and identification patterns could be combined in the field of traditional Chinese medicine, so as to provide ideas and methods for the rapid evaluation and stan-dardization of the quality of traditional Chinese medicine.